I am a final-year PhD candidate at University of Amsterdam under the supervision of Prof.dr. Cees Snoek and Dr. Pascal Mettes. Previously, I received my bachelor's degree and master's degree at Zhengzhou University in 2014 and 2017, respectively. Before my PhD, I also worked one year as a research associate in ADSC, Sigapore and University of Bern, Switzerland. My research interests include, but not limited to the following areas; machine learning, deep learning, computer vision, image processing, and medical image analysis. I am particularly interested in two application domains: visual scene understanding, and image restoration.
On Measuring and Controlling the Spectral Bias of the Deep Image Prior
Zenglin Shi, Pascal Mettes, Subhransu Maji, and Cees Snoek
International Journal of Computer Vision (IJCV), accepted, 2022. [pdf] [code]
Non-local Attention Improves Description Generation for Retinal Images
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin M.D., Jesper Tegner, Marcel Worring
WACV, accepted, 2021.
Ordered or Orderless: A Revisit for Video based Person Re-Identification
Le Zhang*, Zenglin Shi*, Joey Tianyi Zhou, Ming-Ming Cheng, Yun~Liu, Jia-Wang Bian, Zeng Zeng and Chunhua Shen (* indicates equal contributions)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 10.1109/TPAMI.2020.2976969, 2020. [pdf] [code]
DMIB: Dual-correlated Multivariate Information Bottleneck for Multi-view Clustering
Shizhe Hu, Zenglin Shi, Yangdong Ye
IEEE Transactions on Cybernetics, accepted, 2020. [pdf]
Nonlinear Regression via Deep Negative Correlation Learning
Le Zhang*, Zenglin Shi*, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng and Zeng Zeng (* indicates equal contributions)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 10.1109/TPAMI.2019.2943860, 2019. [pdf] [code]
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for WholeHeart Segmentation from 3D MR Images
Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, and Guoyan Zheng
MICCAI (Spotlight), 2018. [pdf]
Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data
Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.
Collective Density Clustering for Coherent Motion Detection
Yunpeng Wu, Yangdong Ye, Chenyang Zhao and Zenglin Shi
IEEE Transactions on MultiMedia (TMM), 2018, 20:1418 - 1431.
Crowd counting using rank-based spatial pyramid pooling network
Zenglin Shi, Yangdong Ye, ZhengZheng Lou and Yunpeng Wu
Acta Automatica Sinica, 2016, 42(6): 866-874.
Institute for Surgical Technology and Biomechanics, University of Bern, Switzerland
Research Associate | 2017.11-2018.5
ADSC (Singapore-based research center of UIUC), Singapore
Research Associate | 2017.5-2017.10